Top Engineering Jobs in Edinburgh

Designs, develops, and tests core development infrastructure, libraries, and frameworks. Establishes systems software engineering policies, standards, and procedures. Uses operating-system tools and services to diagnose and resolve issues between user-space applications and underlying operating systems. Performs root-cause analysis for service interruptions and helps restore services after resolution.

Design, build, and operate cloud-native AI infrastructure and platform services to support model development, training, evaluation, and inference. Implement IaC and automation, enable ML/LLM production deployments within governed enterprise environments, build observability and monitoring, collaborate with security and cross-functional partners, and support on-call/operational duties.

Leads a distributed team of Site Reliability and Backend Engineers responsible for GitLab.com's asynchronous processing and caching platforms. Owns reliability, service-level objectives, capacity planning, incident response, on-call operations, Redis upgrades, operating system patching, deployment architecture, and migration to a durable workflow engine. Manages hiring, development, quarterly planning, roadmap execution, and coordination across globally distributed teams.

Manage a team of machine learning engineers developing credit and lending models for international markets. Set technical strategy, guide advanced ML solutions, partner with product, engineering, analytics, design, and risk teams, and ensure scalable underwriting capabilities. Provide hands-on technical leadership, clarify complex problems, manage trade-offs, and mentor engineers while contributing to Affirm’s long-term machine learning strategy.

Manage a distributed team of senior and staff engineers developing and scaling Gitaly, GitLab’s Git storage tier. Drive complex infrastructure, performance, scalability, architecture, and maintainability initiatives while balancing roadmap and platform priorities. Provide mentoring, career development, technical guidance, and accountability. Collaborate asynchronously with Git and cross-functional teams, represent Gitaly’s technical direction, and ensure long-term platform viability through sound architectural judgment.

Leads the engineering organization responsible for GitLab Dedicated, a single-tenant enterprise SaaS platform. Owns strategy, roadmap, reliability, compliance, infrastructure investments, customer migrations, and enterprise-grade SLAs. Oversees distributed engineering managers and teams across orchestration, resilience, control-plane APIs, public-sector platforms, FedRAMP readiness, AWS GovCloud, and migration tooling. Partners with executives, Product, Security, and Support while scaling the organization, improving operational efficiency, and incorporating AI-enabled engineering workflows.

Provides technical support to onshore wind operations and maintenance teams. Responsibilities include turbine performance analysis, fault investigation, engineering solutions, operational documentation, manufacturer standard reviews, HSQE incident investigations, root cause analysis, safety compliance, client support, and technical coaching. The role requires wind turbine experience, electrical and mechanical fault-finding knowledge, engineering qualifications, GWO training, prior appointment under Wind Turbine Safety Rules, and a full UK driving licence.

Provides documentation support for wind operations and maintenance across the UK and Ireland. Develops, reviews, updates, translates, and controls operational procedures, work instructions, method statements, and maintenance documentation in compliance with Wind Turbine Safety Rules. Collaborates with technicians, engineers, and operations managers, delivers technical briefings, supports continuous improvement, and maintains Authorising Engineer status. The role requires wind turbine technology experience, mechanical or electrical engineering knowledge, health and safety qualifications, GWO training, and a UK driving licence.

Lead and build a new platform engineering team responsible for cloud-agnostic deployments across AWS, other clouds, private cloud, and on-premises environments. Own Kubernetes infrastructure, Terraform, GitOps, CI/CD, observability, reliability, compliance automation, FinOps, and AI/ML infrastructure. Hire and develop engineers, establish operating standards, support SOC 2, ISO 27001, and GDPR controls, and deliver portable, secure, auditable platform foundations for data catalog, knowledge graph, and integration services.

Lead the distributed Cards engineering organization across the UK, EU, and India. Set technical strategy and architecture, improve reliability, scalability, productivity, and cost efficiency, and oversee card issuing and processing integrations. Develop engineering managers and senior engineers, embed AI-assisted development practices, manage processor and scheme relationships, and partner with Product, Design, Commercial, and Finance teams on roadmap execution and business outcomes.

Owns n8n’s agent-centric development platform strategy and implementation. Builds secure sandboxed execution environments, integrates AI agents with Linear, GitHub, CI, testing, and code review, and makes decisions around permissions, secrets, reliability, and human oversight. Establishes benchmarks and adoption metrics to measure quality and impact, drives technical direction across teams, and helps scale agentic workflows across the engineering organization.

Perform aerodynamic and CFD analyses, build meshes and solver-ready cases, define simulation settings, automate workflows with Python, and validate numerical and physical results. Responsibilities include calculating lift and drag, evaluating convergence and mesh quality, diagnosing unstable or invalid simulations, selecting modeling assumptions, and documenting technical methodologies. The role supports an AI training project and requires strong fluid mechanics, aerodynamics, computational analysis, and programming expertise.

Design and evaluate rigorous hardware engineering problems for AI training projects. Develop reference solutions using calculations, simulations, Python scripts, and experimental reasoning. Model and validate hardware systems against physical test data, create verification methodologies, investigate failures, and document reproducible technical solutions. The role requires substantial hardware engineering ownership, strong programming ability, quantitative reasoning, and mandatory hands-on experience with AI Coding Agents.

Leads the M&S Cloud Platform engineering team building AI engineering platforms, reusable pipelines, tooling, plugins, frameworks, and developer self-service capabilities. Responsibilities include technical strategy, platform ownership, architecture, DevOps, reliability, vendor management, recruitment, talent development, and line management of senior engineers. The role contributes code while driving engineering excellence, operational reliability, strategic alignment, and improved developer experience across more than 200 engineers and 30 applications.

Leads the team building the SRE function and owns its technical vision, platform capabilities, reusable tooling, pipelines, frameworks, and developer experience. Manages senior engineering staff, drives recruitment and retention, aligns technical strategy, oversees reliability and operational excellence, partners with vendors, and contributes hands-on code. The role requires strong SRE, cloud, software architecture, DevOps, testing, reliability engineering, and people leadership experience.

Act as the bridge between Axis and consultant/specifier communities across the Midlands and South West UK. Build and manage A&E programme relationships, advise on product specifications, train on Axis design tools, create thought leadership, align activities with sales to generate pipeline, and collaborate with global A&E peers to share best practices.

Leads and grows a machine learning engineering team responsible for production ML infrastructure, automated training, model evaluation, MLOps pipelines, observability, and low-latency model serving. Provides technical architecture guidance, partners with product and data teams on roadmaps, promotes engineering best practices, and supports technical hiring. The role focuses on reliable ML systems processing large, real-time datasets, with potential emphasis on streaming, time-series, and spatial-temporal applications.

Lead and mentor a full-stack engineering team while remaining at least 50% hands-on. Responsibilities include software architecture, development, testing, deployment, code reviews, troubleshooting, Agile delivery, hiring, performance management, and collaboration with Product and Design. The role helps shape technical direction, improve engineering practices, and build scalable, reliable software using Ruby on Rails, React, PostgreSQL, and AWS.

Manage electrical design delivery across multidisciplinary infrastructure and real estate projects. Responsibilities include technical assurance, constructability reviews, design interface management, consultant and contractor coordination, stakeholder liaison, and development of compliant, sustainable engineering solutions. The role ensures integration across engineering disciplines while addressing safety, maintainability, reliability, regulatory requirements, and whole-life asset performance.

Manages multidisciplinary engineering design across the full project lifecycle for infrastructure and real estate projects. Responsibilities include technical assurance, constructability reviews, design interface management, consultant and contractor coordination, stakeholder liaison, and development of sustainable, compliant engineering solutions. The role integrates mechanical, electrical, civil, structural, and geotechnical functions while ensuring maintainability, reliability, safety, and regulatory compliance.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Leads specialized AI training projects focused on realistic mechanical engineering workflows. Designs multidisciplinary projects, translates objectives into technical requirements and acceptance criteria, structures tasks and dependencies, coordinates engineering contributions, and evaluates design feasibility. Applies expertise in mechanical design, engineering analysis, manufacturing, testing, verification, DFMA, and root-cause analysis to ensure project scenarios reflect professional engineering standards.

Owkin accepts spontaneous applications from engineers across AI and LLM engineering, backend and platform engineering, data engineering, and infrastructure. Successful candidates build reliable, scalable systems involving LLMs, agents, or data pipelines; collaborate with scientists; use AI engineering tools; and demonstrate curiosity about biology. Applicants may be considered for current or future opportunities supporting biomedical research tools.

Leads the Editing Experience software engineering team, overseeing people development, hiring, technical quality, delivery, reliability, and AI-native engineering practices. Partners with Product and Design on customer-focused strategy, connects technical decisions to business outcomes, manages engineering flow and metrics, coordinates complex initiatives, and supports incident response. The role requires a hands-on engineering background and recent Engineering Manager experience.

Leads Ashby’s Platform and Infrastructure organization, owning reliability, performance, observability, incident management, infrastructure strategy, vendor relationships, and team growth. Builds long-term roadmaps, hires engineers and managers, collaborates with Product Engineering, and may establish a Developer Experience team. The role requires strong technical depth in Kubernetes, networking, cloud infrastructure, and hardware, alongside experience managing managers, scaling engineering organizations, and communicating effectively across distributed teams.